Renaud Péteri

1.3k total citations
24 papers, 434 citations indexed

About

Renaud Péteri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Renaud Péteri has authored 24 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Ocean Engineering. Recurrent topics in Renaud Péteri's work include Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Video Analysis and Summarization (5 papers). Renaud Péteri is often cited by papers focused on Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Video Analysis and Summarization (5 papers). Renaud Péteri collaborates with scholars based in France, United Kingdom and Hungary. Renaud Péteri's co-authors include Mark J. Huiskes, S Fazekas, Michel Ménard, Jenny Benois‐Pineau, Thierry Ranchin, Eric Rosenfeld, Tâm Mignot, Tristan Renault, Peter Vukusic and Isabelle Couloigner and has published in prestigious journals such as Scientific Reports, Microbiology and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Renaud Péteri

23 papers receiving 418 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Renaud Péteri France 10 322 65 43 40 30 24 434
Zhenyao Wu United States 12 376 1.2× 100 1.5× 20 0.5× 20 0.5× 14 0.5× 22 572
Zezhou Cheng United States 9 415 1.3× 57 0.9× 26 0.6× 15 0.4× 32 1.1× 16 540
Bas Boom Netherlands 9 173 0.5× 36 0.6× 8 0.2× 39 1.0× 12 0.4× 25 285
Tinghuai Wang Finland 12 393 1.2× 55 0.8× 13 0.3× 14 0.3× 125 4.2× 30 573
Hyun-Soo Kim South Korea 2 317 1.0× 106 1.6× 11 0.3× 31 0.8× 30 1.0× 3 395
Hongchen Tan China 10 383 1.2× 53 0.8× 82 1.9× 11 0.3× 29 1.0× 21 437
Vinit Jakhetiya India 15 327 1.0× 62 1.0× 19 0.4× 26 0.7× 5 0.2× 53 492
Xinyi Wu China 11 363 1.1× 94 1.4× 10 0.2× 22 0.6× 7 0.2× 27 477

Countries citing papers authored by Renaud Péteri

Since Specialization
Citations

This map shows the geographic impact of Renaud Péteri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Renaud Péteri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renaud Péteri more than expected).

Fields of papers citing papers by Renaud Péteri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renaud Péteri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Renaud Péteri. The network helps show where Renaud Péteri may publish in the future.

Co-authorship network of co-authors of Renaud Péteri

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Péteri. A scholar is included among the top collaborators of Renaud Péteri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renaud Péteri. Renaud Péteri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Loussouarn, Delphine, Alexis F. Guédon, Renaud Péteri, et al.. (2025). Deep learning for giant cell arteritis diagnosis on temporal artery biopsy. Computers in Biology and Medicine. 196(Pt A). 110707–110707. 1 indexed citations
2.
Danion, Frédéric, et al.. (2024). 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality. Scientific Data. 11(1). 951–951. 5 indexed citations
3.
4.
Péteri, Renaud, et al.. (2021). Extraction and analysis of 3D kinematic parameters of Table Tennis ball from a single camera. 9468–9475. 8 indexed citations
5.
Péteri, Renaud, et al.. (2020). Four-Stream Network and Dynamic Images for Sports Video Classification: Classification of Strokes in Table Tennis.. MediaEval. 1 indexed citations
6.
Benois‐Pineau, Jenny, et al.. (2020). Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks. Multimedia Tools and Applications. 79(27-28). 20429–20447. 40 indexed citations
7.
Péteri, Renaud, et al.. (2019). Optical Flow Singularities for Sports Video Annotation: Detection of Strokes in Table Tennis.. MediaEval. 3 indexed citations
8.
Benois‐Pineau, Jenny, et al.. (2019). Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network. HAL (Le Centre pour la Communication Scientifique Directe). 3027–3028. 2 indexed citations
9.
Goubet, Isabelle, et al.. (2018). Colony analysis and deep learning uncover 5-hydroxyindole as an inhibitor of gliding motility and iridescence in Cellulophaga lytica. Microbiology. 164(3). 308–321. 9 indexed citations
10.
Vukusic, Peter, et al.. (2016). A unique self-organization of bacterial sub-communities creates iridescence in Cellulophaga lytica colony biofilms. Scientific Reports. 6(1). 19906–19906. 34 indexed citations
11.
Péteri, Renaud, et al.. (2016). An efficient and sparse approach for large scale human action recognition in videos. Machine Vision and Applications. 27(4). 529–543. 14 indexed citations
12.
Péteri, Renaud, et al.. (2013). Characterization and recognition of dynamic textures based on the 2D+T curvelet transform. Signal Image and Video Processing. 9(4). 819–830. 38 indexed citations
13.
Péteri, Renaud, et al.. (2011). Decomposition of Dynamic Textures Using Morphological Component Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 22(2). 188–201. 13 indexed citations
14.
Péteri, Renaud. (2010). Tracking dynamic textures using a particle filter driven by intrinsic motion information. Machine Vision and Applications. 22(5). 781–789. 10 indexed citations
15.
Péteri, Renaud, S Fazekas, & Mark J. Huiskes. (2010). DynTex: A comprehensive database of dynamic textures. Pattern Recognition Letters. 31(12). 1627–1632. 203 indexed citations
16.
Péteri, Renaud, et al.. (2009). A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Péteri, Renaud, et al.. (2008). Adding a Noise Component To A Color Decomposition Model For Improving Color Texture Extraction. Conference on Colour in Graphics Imaging and Vision. 4(1). 394–398. 4 indexed citations
18.
Péteri, Renaud & Thierry Ranchin. (2006). AUTOMATED ROAD NETWORK EXTRACTION USING COLLABORATIVE LINEAR AND SURFACE MODELS. 3 indexed citations
19.
Péteri, Renaud, Isabelle Couloigner, & Thierry Ranchin. (2004). Quantitatively Assessing Roads Extracted from High-Resolution Imagery. Photogrammetric Engineering & Remote Sensing. 70(12). 1449–1456. 9 indexed citations
20.
Péteri, Renaud & Thierry Ranchin. (2002). Extraction and update of street networks in urban areas from high resolution satellite images. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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